Simulation of the entire range of daily precipitation using a hybrid probability distribution

Water Resources Research

Volumn 48, Issue 3, 2012, Pages

  Li, Chao ^a   Singh, Vijay P ^a,b   Mishra, Ashok K ^a  

^a Texas A and M University   (United States)

^b Texas AandM University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOUND DISTRIBUTIONS; COMPUTATIONAL DEMANDS; DOWN-SCALING; EXPONENTIAL DISTRIBUTIONS; EXTREME PRECIPITATION; EXTREME VALUE; FULL SPECTRUM; GENERALIZED PARETO DISTRIBUTIONS; GOODNESS OF FIT; HEAVY-TAILED; INHERENT LIMITATIONS; JUNCTION POINT; MAXIMUM LIKELIHOOD METHODS; MONTE CARLO SIMULATION; NON-PARAMETRIC; NUMERICAL INSTABILITY; PARAMETRIC GENERATOR; PENALIZED MAXIMUM LIKELIHOOD;

MONTE CARLO METHODS; PRECIPITATION (METEOROLOGY);

PROBABILITY DISTRIBUTIONS;

DATA SET; DOWNSCALING; EXTREME EVENT; HYDROLOGICAL MODELING; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PRECIPITATION ASSESSMENT;

TEXAS; UNITED STATES;

EID: 84859184993     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011446     Document Type: Article

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